Plot Digitizer vs DataGraph
Side-by-side comparison for macOS
Plot Digitizer
8.0Digitize scanned plots of functional data
DataGraph
6.0Scientific/statistical graphing software
| Metric | Plot Digitizer | DataGraph |
|---|---|---|
| Category | Science | Science |
| AI Score | 8.0 | 6.0 |
| 30-day Installs | 8 | 3 |
| 90-day Installs | 10 | 16 |
| 365-day Installs | 84 | 74 |
| Version | 2.6.12 | 5.5 |
| Auto-updates | No | No |
| Deprecated | Yes | No |
| GitHub Stars | 162 | 126 |
| GitHub Forks | 26 | 5 |
| Open Issues | 11 | - |
| License | GPL-3.0 | Apache-2.0 |
| Language | Python | Haskell |
| Last GitHub Commit | 1y ago | 10y ago |
| First Seen | Nov 19, 2015 | Jul 27, 2014 |
Reviews
Plot Digitizer
Plot Digitizer is a unique tool for extracting functional data from scanned plots. It allows users to import images, set axes, and export data points, making it invaluable for researchers and engineers needing to analyze graphical data.
Converts scanned plots into digital data points for analysis.
Pros
- + Open-source under GPL-3.0, promoting transparency and customization.
- + Cross-platform support for macOS, Windows, and Linux.
- + Supports multiple export formats for data flexibility.
Cons
- - No auto-update feature, requiring manual checks for updates.
- - User interface may be less intuitive for some users.
DataGraph
DataGraph is a powerful tool for creating and analyzing scientific and statistical graphs. Its key features include advanced graphing capabilities and a user-friendly interface, making it ideal for researchers and data analysts.
DataGraph is a statistical graphing software that allows users to create and analyze various types of graphs and charts.
Pros
- + Advanced graphing and statistical analysis capabilities
- + User-friendly interface for creating and analyzing graphs
- + Open-source with an Apache-2.0 license
Cons
- - No updates since 2016, suggesting limited ongoing development
- - Limited community support and discussion